The ICME Journal of Laboratory Medicine recognizes the continuing development and increasing use of generative artificial intelligence (AI) and large language models (LLMs) in scientific writing, laboratory data analysis, and scholarly research workflows. ICME Journal of Laboratory Medicine supports the responsible, transparent, and accountable use of these technologies while maintaining standards of originality, accuracy, scientific validity, confidentiality, and editorial integrity.
This policy defines expectations for authors, peer reviewers, and editors. It is informed by the Committee on Publication Ethics (COPE) Core Practices, recommendations issued by the World Association of Medical Editors (WAME), and the transparency principles reflected in the Directory of Open Access Journals (DOAJ) criteria.
AI tools may be used for supportive tasks during manuscript preparation, provided that human authors retain intellectual control, verify all outputs, and disclose substantive use where required:
Authors must disclose substantive use of generative AI tools in the Methods section, Acknowledgments, or a dedicated declaration, as appropriate. The disclosure should identify the tool name, version where available, developer or provider, purpose, and extent of use:
AI systems, chatbots, and large language models cannot be listed as authors or coauthors. Authorship requires identifiable human contributions, approval of submitted and final versions, appropriate disclosure of competing interests, and accountability for the accuracy and integrity of the work. AI systems cannot fulfill these responsibilities.
Human authors remain responsible for all submitted content, including the accuracy of data and factual claims, validity of analyses, originality of the manuscript, reliability of citations where applicable, and integrity of AI-assisted material. The use of an AI tool does not transfer or reduce an author's scholarly, ethical, or professional responsibilities.
Peer reviewers and editors must not upload unpublished manuscripts, review reports, author information, or other confidential material to public or unauthorized AI tools. Any permitted use of technology must comply with journal confidentiality, information-security, data-protection, and disclosure requirements.
Where undisclosed, misleading, or inappropriate AI use is suspected, ICME Journal of Laboratory Medicine may take proportionate action after assessing available evidence:
The ICME Journal of Laboratory Medicine reviews this policy periodically and updates it when necessary to reflect developments in generative AI technology, scholarly publishing practice, relevant COPE Core Practices, WAME recommendations, and DOAJ transparency principles.